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Research Article Implementation of Distributed Generation with Solar Plants in a 132kV Grid Station at Layyah Using ETAP Ghulam Mujtaba, 1 Zeeshan Rashid , 1 Farhana Umer, 1 Shadi Khan Baloch , 2 G. Amjad Hussain, 3 and Muhammad Usman Haider 4 1 Department of Electrical Engineering, The Islamia University of Bahawalpur, 63100 Bahawalpur, Pakistan 2 Department of Mechatronics Engineering, Mehran University of Engineering and Technology, 76062 Jamshoro, Pakistan 3 Department of Electrical Engineering, College of Arts and Sciences, American University of Kuwait, Safat, Kuwait 4 Department of Electrical Engineering, Electrobuild Engineering Private Limited, 39350 Sheikhupura, Pakistan Correspondence should be addressed to Zeeshan Rashid; [email protected] Received 11 January 2020; Revised 16 May 2020; Accepted 6 June 2020; Published 25 June 2020 Academic Editor: Raúl Gregor Copyright © 2020 Ghulam Mujtaba et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Decentralized power generation ecaciously merges technological advances in a rapidly changing face of power networks introducing new power system components, advanced control, renewable sources, elegant communication, and web technology paving the way for the so called smart grids. Distributed generation technology lies at the intersection point of power systems, power electronics, control engineering, renewable energy, and communication systems which are not mutually exclusive subjects. Key features of renewable integration in a distribution network include loss minimization, voltage stability, power quality improvement, and low-cost consumption resulting from abundant natural resources such as solar or wind energy. In this research work, a case study has been carried out at a 132 kV grid station of Layyah, Pakistan, which has active losses, reactive losses, low power factor, low voltage on the demand side, and overloaded transformers and distribution lines. As a result, power outage issue is frequent on the consumer side. To overcome this issue, a simulation of load ow of this system is performed using the Newton-Raphson method due to its less computational time, fewer iterations, fast convergence, and independence from slack bus selection. It nds the harsh condition in which there were 23 overloaded transformers, 38 overloaded distribution lines, poor voltage prole, and low power factor at the demand side. There is a decit of 24 MW in the whole system along with 4.58 MW active and 12.30 MVAR reactive power losses. To remove power deciency, distributed generation using solar plants is introduced to an 11 kV distribution system with a total of 24 units with each unit having a capacity of 1 MW. Consequently, active and reactive power losses are reduced to 0.548 MW and 0.834 MVAR, respectively. Furthermore, the voltage prole improves, the power factor enhances, and the line losses reduce to a great extent. Finally, overloaded transformers and distribution lines also return to normal working conditions. 1. Introduction The global emerging trend of deregulated electricity market has underpinned a remarkable stride in the paradigm of distributed or dispersed generation (DG) by the use of small photovoltaic or wind plants to cope with the inevita- ble shortcomings such as power outage, poor quality, volt- age regulation, and increased component losses in commercial and domestic infrastructure [1, 2]. These small power plants installed at subsequent stations not only pro- vide better services to the consumers as backup sources but also eliminate pollution, greenhouse gas emission, and global warming [3]. DG ranging from a few kW to MW is now part of distributed energy resources which includes responsive loads and energy storage [4]. It also reduces the need for the distribution and transmission expansion with the essential requirements of huge power plants [5]. The most attractive prospect lies in the fact that DG is installed around the network that is close to the consumers side to minimize power losses and voltage drops [6]. Hindawi International Journal of Photoenergy Volume 2020, Article ID 6574659, 14 pages https://doi.org/10.1155/2020/6574659

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  • Research ArticleImplementation of Distributed Generation with Solar Plants in a132kV Grid Station at Layyah Using ETAP

    Ghulam Mujtaba,1 Zeeshan Rashid ,1 Farhana Umer,1 Shadi Khan Baloch ,2

    G. Amjad Hussain,3 and Muhammad Usman Haider4

    1Department of Electrical Engineering, The Islamia University of Bahawalpur, 63100 Bahawalpur, Pakistan2Department of Mechatronics Engineering, Mehran University of Engineering and Technology, 76062 Jamshoro, Pakistan3Department of Electrical Engineering, College of Arts and Sciences, American University of Kuwait, Safat, Kuwait4Department of Electrical Engineering, Electrobuild Engineering Private Limited, 39350 Sheikhupura, Pakistan

    Correspondence should be addressed to Zeeshan Rashid; [email protected]

    Received 11 January 2020; Revised 16 May 2020; Accepted 6 June 2020; Published 25 June 2020

    Academic Editor: Raúl Gregor

    Copyright © 2020 Ghulam Mujtaba et al. This is an open access article distributed under the Creative Commons AttributionLicense, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work isproperly cited.

    Decentralized power generation efficaciously merges technological advances in a rapidly changing face of power networksintroducing new power system components, advanced control, renewable sources, elegant communication, and web technologypaving the way for the so called smart grids. Distributed generation technology lies at the intersection point of power systems,power electronics, control engineering, renewable energy, and communication systems which are not mutually exclusivesubjects. Key features of renewable integration in a distribution network include loss minimization, voltage stability, powerquality improvement, and low-cost consumption resulting from abundant natural resources such as solar or wind energy. In thisresearch work, a case study has been carried out at a 132 kV grid station of Layyah, Pakistan, which has active losses, reactivelosses, low power factor, low voltage on the demand side, and overloaded transformers and distribution lines. As a result, poweroutage issue is frequent on the consumer side. To overcome this issue, a simulation of load flow of this system is performedusing the Newton-Raphson method due to its less computational time, fewer iterations, fast convergence, and independencefrom slack bus selection. It finds the harsh condition in which there were 23 overloaded transformers, 38 overloadeddistribution lines, poor voltage profile, and low power factor at the demand side. There is a deficit of 24MW in the wholesystem along with 4.58MW active and 12.30MVAR reactive power losses. To remove power deficiency, distributed generationusing solar plants is introduced to an 11 kV distribution system with a total of 24 units with each unit having a capacity of1MW. Consequently, active and reactive power losses are reduced to 0.548MW and 0.834MVAR, respectively. Furthermore,the voltage profile improves, the power factor enhances, and the line losses reduce to a great extent. Finally, overloadedtransformers and distribution lines also return to normal working conditions.

    1. Introduction

    The global emerging trend of deregulated electricity markethas underpinned a remarkable stride in the paradigm ofdistributed or dispersed generation (DG) by the use ofsmall photovoltaic or wind plants to cope with the inevita-ble shortcomings such as power outage, poor quality, volt-age regulation, and increased component losses incommercial and domestic infrastructure [1, 2]. These smallpower plants installed at subsequent stations not only pro-

    vide better services to the consumers as backup sourcesbut also eliminate pollution, greenhouse gas emission, andglobal warming [3]. DG ranging from a few kW to MW isnow part of distributed energy resources which includesresponsive loads and energy storage [4]. It also reduces theneed for the distribution and transmission expansion withthe essential requirements of huge power plants [5]. Themost attractive prospect lies in the fact that DG is installedaround the network that is close to the consumer’s side tominimize power losses and voltage drops [6].

    HindawiInternational Journal of PhotoenergyVolume 2020, Article ID 6574659, 14 pageshttps://doi.org/10.1155/2020/6574659

    https://orcid.org/0000-0002-5592-4126https://orcid.org/0000-0002-7318-4715https://creativecommons.org/licenses/by/4.0/https://creativecommons.org/licenses/by/4.0/https://doi.org/10.1155/2020/6574659

  • The implementation of DG by renewable energyresources is advantageous in rural areas specifically to stabi-lize the power grid and ensure reliability at reduced cost ofgeneration and distribution [7, 8]. In order to exploit the fullpotential of DG, versatile and competent work force isrequired to cope with the broad spectrum of technical chal-lenges. Few of the associated issues hindering the robustoperation are the requirements of decentralized control [9],optimal placement of plants [3, 10], fault location [11], distri-bution system protection [12], reconfiguration [13], andintegration [14].

    The last decade has been dedicated to the implementa-tion of the DG framework to furnish its overwhelmingfeatures to the power system community such as voltagestability and loss minimization [15]. Injeti and Kumaranalytically determined the placement and sizing of DGfor planning and operation of active distribution networksusing fuzzy logic [16]. They carried out a detailed perfor-mance analysis on 12-bus, 33-bus, and 69-bus radial distri-bution networks to conclude an enhanced voltage stabilityfactor at minimum losses. Mehta et al. proposed a selec-tion scheme of the best type of DG unit and its optimallocation by analyzing the voltage sensitivity index andbus participation factors using a power flow algorithmand modal analysis technique [17]. With these protocols,they were able to enhance the voltage stability of the distribu-tion network with simultaneous improvement in the voltageprofile for the 33- and 136-node radial distribution network.Onlam et al. proposed a novel optimization technique calledthe adaptive shuffled frog-leaping algorithm to solve the net-work reconfiguration and DG placement problems in IEEE33- and 69-bus distribution systems [18]. They definedspecific objective functions taking into account power lossminimization and voltage stability index improvement(VSI) and concluded that the power loss and VSI providedby this algorithm were better than all other protocols inboth 33- and 69-bus systems. Rudresha et al. presented amethod to determine the proper size and location of DGin a distribution system to reduce the losses and improvethe voltage stability for different loading conditions [19].They considered the IEEE 33-bus system to simulate thevoltage profile and losses in the system and concluded thatproper placement and sizing of DG potentially reduce thelosses, improve the voltage profile, and thereby improvethe voltage stability.

    This paper deals with a comprehensive investigation of a132 kV grid station in Layyah, a backward city surrounded bydeserts in the southern part of Punjab Province in Pakistan.Due to the growing population, inevitable electricity needs,and negligence from the country’s policy makers, the powerinfrastructure in Layyah is facing adverse stress to providereliable, continuous, and quality services to the consumers.On the brighter side, the considered district holds the mostfavourable climatic conditions because sun shines for longerduration and there are extremely low chances of cloudy orrainy weather throughout the year implying maximumpotential for solar energy. In the first part of the research,the whole grid station of Layyah including three zones con-sisting of 24 distribution transformers each is simulated on

    an Electrical Transient Analysis Program (ETAP) power flowsolver using the Newton-Raphson algorithm. The Newton-Raphson method provides a fast load flow solution withoutcomputing the superior order of derivatives for solving thesmall-, medium-, and large-scale distribution system andgives efficient results for computational cost minimization[20, 21]. Moreover, the results from the Newton-Raphsonmethod are more reliable with a higher success rate ofconvergence as compared to those from the other powerflow algorithms [22]. In this regard, the ETAP softwareis excellent for system planning and it has a positive effecton the test feeder so it can be employed for optimum sizeand location of DG in the substation [23]. Simulationresults performed on this platform reliably predict thesuperiority and effectiveness of the proposed methods[24]. The network layout, component ratings, and all oper-ating values considered in the simulation are based on theactual data of the region [25].

    As a result of the computation, certain overloadedtransformers and distribution lines of the existing networkare identified causing load shedding, voltage deterioration,enhanced losses, and low power factor. In the second partof the research, the simulated power network of Layyah isupgraded to a DG network by the installation of distrib-uted solar power plants of 1MW each at subsequent inter-vals along the 11 kV bus in all the zones of the gridstation. Moreover, the underrated transformers and distribu-tion lines are replaced with new higher rated components tocircumvent overloading and failure issues. As suggested bythe results, all components of the network operate under nor-mal loading conditions, and the voltage profile and powerfactor at each load side improved substantially with a consid-erable reduction in the losses across each transformer anddistribution line.

    Figure 1 shows a single-line diagram of a 132 kV gridstation of Layyah in which three isolators (81-1, 82-1,and 83-1) at three legs leading to zones A-C are connectedto the main 132 kV bus. There is one current transformerspecified by symbol “E” which has two available currenttransformation ratios of 100/5 A and 200/5 A. Subse-quently, each leg has an SF-6-type circuit breaker andlightening arrestor (LA) followed by a primary distributiontransformer (132/11.5 kV) of 20/26 MVA rating. There isone more current transformer with transformation ratiosof 1600/5 A and 800/5 A followed by a potential trans-former (11500/35V).

    The grid of 132 kV shown in Figure 1 splits into threeprimary distribution networks which are categorized intothree zones: zone A, zone B, and zone C. The schematicdiagram of the individual zone of the distribution networkis shown in Figure 2. Each zone consists of further two11.5 kV branches with each branch having 12 transformersconnected to it for secondary distribution to the con-sumers. In this way, each zone is fulfilling demand to 24regions of consumers. The simulation results of the exist-ing system indicate that there are 23 transformers and38 distribution lines in total which are overloaded andare represented by red colors. The voltage profile is foundout to be around 300V which is much smaller than the

    2 International Journal of Photoenergy

  • nominal value of 380V. The power factor across all the zonesis fluctuating around 0.7, and there are considerable lossesacross the transformers and distribution lines. In the newdesigned system, firstly, these transformers and distributionlines are replaced by highly rated components. In the secondstep, eight solar plants (Suntech, monocrystalline) of 1MWpower each are connected to the grid such that each branchis assisted with four units as shown in Figure 2. Each solarplant consists of 80 cells in series and 80 cells in parallel witheach cell having the rating of 180W. After solving the newsystem, it is established that the voltage level returns toaround 380V with a power factor of unity in the system.All losses in the system also reduce considerably.

    This paper is organized as follows. Section 2 deals withcurrent and future trends of electricity needs, power genera-tion, annual demand factor, and power losses in the wholecountry. Section 3 discusses the Newton-Raphson powerflow algorithm. In Section 4, the implementations of theexisting system and new system are described in detail alongwith the discussion of results. Finally, conclusions are drawnin Section 5.

    2. Current and Future Trends in Pakistan

    In Pakistan, National Transmission & Despatch Company(NTDC) has designed a future load forecasting from 2017to 2040 in which installed capacity and peak demands arehighlighted at the end of each year. Although installedcapacity was more than the total demand of electricityeven in the past, the shortage of electricity is due to highlosses and plants not running at full capacity. In 2017,the installed capacity was 137328GWh, but the demandwas 25717MW. Future generation capacity and peakdemand are shown in Figure 3. In 2040, the total installedcapacity will reach 630529GWh and the peak demand willreach up to 110736MW [27]. Pakistan cannot fulfil itspeak demand because most of the generating power plantsare not running at rated capacity causing shortage ofpower in each state. The Quaid-e-Azam solar power planthas been installed in Bahawalpur, Pakistan, which has1000MW generation capacity but 400MW is in operationand 600MW is under progress. Some more projectsincluding hydro and renewable energy sources like solar,wind, biomass, and geothermal energy sources are underdiscussion for the expansion.

    The demand factor of load varies from month to monthdepending on the daily activities of the population and theseason. In the month of February, it has a minimum valueof 0.58. The maximum demand is unity in the month of Junesince it is the hottest working month of the year before sum-mer vacations in institutes [27]. A month-wise graph of thedemand factor is shown in Figure 4.

    In Pakistan, transmission and distribution losses varyfrom year to year which are plotted in Figure 5 from theactual data taken from NTDC [28]. The transmission anddistribution in Pakistan are not yet reliable which can beobserved from the data taken from the fiscal years 1981 to2018. In 1981, losses were 29.5% which were reduced to someextent after every year [28]. In 2017, the lowest losses of19.4% were recorded in the system which again surged to20% in 2018.

    At the proposed site, power generation is less and powerconsumption is more due to which the system has increasedlosses, load fluctuations, and higher possibility of instrumentinterruption. A case study has been taken for solving theproblem of load shedding, active and reactive losses, andlow power factor and for improving the voltage profile. Thedata has been taken from the 132 kV grid station at Layyah,Pakistan. There is a problem of load shedding and a lowpower factor which has a minimum value of 0.69 and anaverage value of 0.84 in all the three zones. Minimum farend consumers’ voltage is 283V which is very less than the

    81–1 82–1 83–1

    Grid

    132 kV

    100,200/5 ALEH-81AEG (SF-6)

    100,200/5 ALEH-82AEG (SF-6)

    100,200/5 ALEH-83CHINA (SF-6)

    E

    E E E

    E E

    LA LA LA

    LALALA

    T-1 = 20/26 MVA132/11.5 kV(PEL)20/12/12

    T-2 = 20/26 MVA132/11.5 kV(HEC)30/02/08

    T-3 = 20/26 MVA132/11.5 kV(Elprom)01/02/18

    1600,800/5 A 800, 1600/5 A 800, 1600/5 A

    P.T P.T P.T11500/35 V 11500/35 V 11500/35 V

    Incoming

    11.5 kV 11.5 kV 11.5 kV

    To zone A To zone B To zone C

    IncomingIncoming

    Figure 1: 132 kV grid station installed at Layyah, Pakistan [26].

    Load 12Load 2Load 1

    Load 13 Load 14 Load 24

    11.5

    kV

    11.5

    kV

    11.5 kV/220 V

    Sola

    r cel

    ls

    Zones A, B, C

    & co

    nver

    tor

    Figure 2: DG in different zones with overloaded transformers anddistribution lines.

    3International Journal of Photoenergy

  • transmitted value of 380V. There was also a deficit of 24MWpower compared to the total demand at the grid. There arethree zones in the 132 kV grid where each zone has an almost8MW energy deficit. So consumer energy demand cannot befulfilled, and daily 6- to 8-hour load shedding is a routine.

    To solve this problem, two techniques are valuable: thefirst one is to inject a DG to the load side and the second isthat the grid station should be upgraded to 220 kV whichnecessitates higher upgradation cost. Here, DG injectioncan solve this issue with minimal cost and flexibility in thechoice of the installation venue. The ETAP software is usedto simulate the existing system and the new system. The oldsystem has more losses than the new system. Power deficitis also removed by injection of the solar system which has atotal of 24MW rated output in which each unit has 1MWgeneration capacity.

    3. Power Flow Analysis

    Power flow studies are of paramount importance for powersystem planning and upgradation and for determining thebest operation of existing systems. The power flow problemcan be solved by considering the admittance matrices of thenetwork incorporating all the buses and feeders using asingle-line diagram. All the buses are categorized as eithervoltage-controlled bus (or PV bus), load bus (or PQ bus)and slack bus (mostly bus 1). The Newton-Raphson methodbeing the most efficient method in all aspects is used for solv-ing power flow problems which also eliminates the need toexplicitly specify the slack bus. The Taylor series expansionup to two initial terms is the basis for solving a multivariablenonlinear equation in a polar form with equal number ofunknowns. The Newton-Raphson method is used for analy-sis of the 132 kV grid station at Layyah because of its conver-gence which is very fast and independent of size of buses, andlittle number of iterations is required for the solution of loadflow. The convergence process of the multivariable Newton-

    204020352030Fiscal year

    2025202020150

    20

    40

    60

    80

    Peak

    dem

    and

    (MW

    ) ×10

    4

    Pow

    er g

    ener

    atio

    n (G

    Wh)

    ×10

    4

    100

    0

    20

    40

    60

    80

    100

    Peak demand Power generation

    Figure 3: Future load forecasting of the peak demand and installedcapacity.

    0.5

    July

    Augu

    stSe

    ptem

    ber

    Oct

    ober

    Nov

    embe

    rD

    ecem

    ber

    Janu

    ary

    Febr

    uary

    Mar

    chAp

    rilM

    ayJu

    ne

    0.6

    0.7

    0.8

    Dem

    and

    fact

    or

    0.9

    1.0

    Figure 4: Year-wise demand factor of load in Pakistan.

    181980 1990 2000

    Fiscal year2010 2020

    20

    22

    24

    26

    Pow

    er lo

    sses

    (%)

    28

    30

    Figure 5: Power losses at transmission and distribution from 1981to 2018.

    132 kV

    Grid

    Zone A

    20 M

    VA

    20 M

    VA

    20 M

    VA

    Zone

    A tr

    ansfo

    rmer

    Zone

    B tr

    ansfo

    rmer

    Zone

    C tr

    ansfo

    rmer

    Zone B Zone C

    Figure 6: Simulation diagram of a 132 kV grid connected to three20MVA transformers.

    4 International Journal of Photoenergy

  • Raphson method is explained below.

    Si = Pi + jQi =Vi 〠n

    k=1Y∗ikV

    ∗k = 〠

    n

    k=1ViVkYike

    j δi−δk−δikð Þ,

    Pi = 〠n

    k=1ViVkYik cos δi − δk − δikð Þ,

    Qi = 〠n

    k=1ViVkYik sin δi − δk − δikð Þ:

    ð1Þ

    Pi and Qi are the active and reactive powers, respectively.

    f =Pi

    Qi

    " #,

    x =δi

    ∣Vi∣

    " #:

    ð2Þ

    When more variables are involved, f ′ is replaced by thepartial derivates of Pi and Qi with respect to the two entriesin column vector x. The resultant matrix f ′ shown in Equa-tion (3) is also called the Jacobian matrix.

    f ′ =

    ∂Pi∂δi

    ∂Pi∂ ∣Vi ∣

    ∂Qi∂δi

    ∂Qi∂ ∣Vi ∣

    26664

    37775, ð3Þ

    ΔPi

    ΔQi

    " #=

    Pi schð Þ

    Qi schð Þ

    24

    35 − Pi calð Þ

    Qi calð Þ

    24

    35

    = f ′Δδi

    Δ∣Vi∣

    " #,

    ð4Þ

    Δδi

    Δ∣Vi∣

    " #= f ′h i−1 ΔPi

    ΔQi

    " #: ð5Þ

    The subscript cal denotes the calculated value and schrepresents the scheduled values. The iterative process stops

    00

    400

    800

    1200

    1600

    Tran

    sform

    er ra

    ting

    (kV

    A) 2000

    5 10 15 20Transformer #

    250

    5

    10

    15

    20

    25

    Dist

    ance

    from

    load

    (km

    )

    (a)

    00

    400

    800

    1200

    1600

    Tran

    sform

    er ra

    ting

    (kV

    A) 2000

    5 10 15 20Transformer #

    250

    5

    10

    15

    Dist

    ance

    from

    load

    (km

    )

    20

    25

    (b)

    00

    400

    800

    1200

    1600Tr

    ansfo

    rmer

    ratin

    g (k

    VA

    ) 2000

    5 10 15 20Transformer #

    250

    5

    10

    15

    Dist

    ance

    from

    load

    (km

    )

    20

    25

    (c)

    Figure 7: Transformer ratings and route lengths in (a) zone A, (b) zone B, and (c) zone C.

    Table 1: Specifications of the existing system.

    Name of parameters Assumptions for parameter

    System type Three-phase AC system

    Type of distribution line Overhead line conductors

    Type of load Constant load

    Standard frequency 50Hz

    Standard voltage 380V (L-L)

    Type of conductorsAluminium conductorsteel reinforced (ASCR)

    Voltage limits

    Critical over voltage > 105%,critical under voltage < 95%,marginal over voltage > 102%,marginal under voltage < 97

    Bus 1 Reference bus or slack bus

    5International Journal of Photoenergy

  • when the mismatches become smaller than the specifiedtolerance ϵ, i.e.,

    ΔPi

    ΔQi

    " #≤ ϵ: ð6Þ

    It should be noted that the entries in the calculationprocess exclude the slack bus so there will be n − 1 busesfor which the computation will be carried out.

    4. Results and Discussion

    A case study of the 132 kV grid station at Layyah has beensimulated on ETAP. The grid station is divided into threezones, namely, zone A, zone B, and zone C. At the distribu-tion level, 72 distribution transformers are connected to theload. There are 24 transformers in each zone and a mainpower transformer connected to the grid having the ratingof 20MW. After simulating the system, it appears that afew transformers are overloaded which can be observed fromtheir highlighted red color in the simulation in Figure 6. Thethree main transformers of zone A, zone B, and zone C arealso overloaded. In addition, the loads are located at suffi-

    ciently large distance from the transformers. As a result, thesystem has transmission line losses, low power factor, andpoor voltage regulation due to overloading which are themain issues in the grid. In particular, during the peak hours,the power demand is higher than the generation, so the over-all system is not healthy to fulfil power demands to the con-sumers. The ratings of all transformers along with theirdistance from the load side in the three zones are plotted inFigure 7.

    4.1. Existing System Implementation on ETAP. In order toanalyze the power flow of the three zones, implementationof the grid is done on the ETAP software. The specificationsof the existing system are shown in Table 1, and the same areconsidered in the simulation settings.

    A 132 kV grid is implemented on the ETAP softwarewhose layout is shown in Figures 6 and 8–10. When the pro-gram runs on ETAP, the following results are obtained. Thethree main transformers of individual zones having ratingsof 20MVA each are overloaded as shown in Figure 6 by theirred colors. Moreover, in zone A, 11 transformers are over-loaded which are connected to the sugar mill colony, theemployees’ colony, Noorabad, Chandiawala, the Q.H.scheme, the lawyers’ colony, Qadeerabad, Laskaniwala,

    Zone A

    L1

    L27 L47

    L28

    L26

    L25

    11.5

    kV

    800

    kVA

    400

    kVA

    1200

    kVA

    300

    kVA

    1200

    kVA

    1600

    kVA

    750

    kVA

    800

    kVA

    950

    kVA

    300

    kVA

    600

    kVA

    431

    kW

    642

    kW

    665

    kW

    707

    kW

    972

    kW

    253

    kW

    842

    kW

    560

    kW

    628

    kW

    932

    kW

    278

    kW

    800

    kW

    L48

    296

    V

    293

    V

    296

    V

    320

    V

    306

    V

    304

    V

    314

    V

    Din

    pur

    Tibb

    i khu

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    eera

    bed

    Koro

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    312

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    321

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    317

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    297

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    ala

    Kach

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    Lask

    aniw

    ala

    Karo

    r tha

    l

    300

    V

    Law

    yers

    'co

    lony

    Q.H

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    Basti

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    Man

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    abad

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    lco

    lony

    Suga

    r mill

    colo

    ny

    305

    V

    305

    V

    311

    V

    325

    V

    326

    V

    302

    V

    309

    V

    310

    V

    310

    V

    315

    V

    320

    V

    456

    kW

    242

    kW

    728

    kW

    515

    kW

    498

    kW

    1012

    kW

    806

    kW

    838

    kW

    258

    kW

    L4L2 851

    kW

    319

    kW

    664

    kW 130

    0 kV

    A

    800

    kVA

    200

    kVA

    1200

    kVA

    1000

    kVA

    750

    kVA

    1000

    kVA

    300

    kVA

    1500

    kVA

    1000

    kVA

    800

    kVA

    750

    kVA

    500

    kVA

    L3 L23

    L24

    Load 1 Load 2 Load 3 Load 4 Load 5 Load 6 Load 7 Load 8 Load 9 Load 10 Load 11 Load 12

    Load 13 Load 14 Load 15 Load 16 Load 17 Load 18 Load 19 Load 20 Load 21 Load 12 Load 23 Load 24

    650 k

    VA

    330 k

    VA

    1030

    kVA

    800 k

    VA

    770 k

    VA

    1600

    kVA

    1300

    kVA

    1300

    kVA

    1200

    kVA

    400 k

    VA

    850 k

    VA

    300 k

    VA

    850 k

    VA

    200 k

    VA

    1200

    kVA

    1000

    kVA

    750 k

    VA

    1100

    kVA

    1000

    kVA

    880 k

    VA

    800 k

    VA

    550 k

    VA

    500 k

    VA

    500 k

    VA

    Figure 8: Implementation of zone A of the existing system on ETAP.

    6 International Journal of Photoenergy

  • Sirgani Thal, Maujgarh, and Shahpur Thal. In zone A, 18 dis-tribution lines are overloaded which are L1, L9, L10, L15,L16, L20, L21, L22, L23, L24, L36, L41, L43, L44, L45, L46,L47, and L48. For the sake of saving space, numbers are onlymentioned for the first four and last two lines. The marginallyand fully overloaded transformers are shown in pink and redcolors, respectively, and the overloaded distribution lines areshown in red colors in Figure 8.

    In zone B, eight transformers and twelve lines are over-loaded. The overloaded transformers are connected toLohachthal, Zard, Jhoralnashib, Jakharpacca, Kharal Azeem,Khokharwala, Rakh, and Shahwala. Lines which are over-loaded include L59, L83, L84, L86, L88, L90, L91, L92, L93,L94, L95, and L96.

    Finally, in zone C, four transformers are overloaded.These transformers are connected to Saeed Nasheeb, Lad-hana, Jamanshah, and Awanwala. There are eight lines whichare overloaded. These distribution lines are L97, L109, L131,

    L132, L133, L139, L140, and L142. As a result of overloading,there is an observed deficit of 24MW resulting into 6 to 8hours of load shedding every day.

    4.2. New Design of the 132 kV Grid Station. At the distribu-tion side, solar cell modules are installed at uniform intervalsafter each third distribution line to overcome the problems ofpower shortage, voltage regulation, and low power factor.There is a deficit of 8MW in each zone, so eight solar panelsof 1MW rating each are installed in each zone. The solarpanel is installed at the distribution end or close to the userend to balance deficit and reduce line losses. The single-linediagram of the grid and all the three zones of the new systemare shown in Figures 11–14, respectively.

    After the installation of distributed solar panels in eachzone, considerable power is extracted from the DG sets whichcauses less burden on each zonal transformer (20MVA).Hence, all three zonal transformers return to their normal

    500

    kVA

    250

    kVA

    1000

    kVA

    1000

    kVA

    800

    kVA

    660

    kVA

    1400

    kVA

    750

    kVA

    800

    kVA

    1200

    kVA

    200

    kVA

    400

    kVA

    Load 25 Load 26 Load 27 Load 28 Load 29 Load 30 Load 31 Load 32 Load 33 Load 34 Load 35 Load 36

    Load 37 Load 38 Load 39 Load 40 Load 41 Load 42 Load 43 Load 44 Load 45 Load 46 Load 47 Load 4844

    0 kVA

    200 k

    VA

    1200

    kVA

    800 k

    VA

    750 k

    VA

    1400

    kVA

    600 k

    VA

    800 k

    VA

    1000

    kVA

    1000

    kVA

    250 k

    VA

    500 k

    VA73

    1 kW

    324

    kW

    1028

    kW

    376

    kW

    937

    kW

    1193

    kW

    1229

    kW

    614

    kW

    578

    kW

    838

    kW

    222

    kW

    465

    kW

    L71

    11.5 kV

    Zone B

    L49

    L73

    L75 L95

    L51L5

    2

    L72

    750

    kVA

    545

    kW32

    0 V

    323

    V

    316

    V

    320

    V

    332

    V

    328

    V

    335

    V

    340

    V

    326

    V

    336

    V

    342

    V

    330

    VG

    ochi

    Gad

    di

    Bait

    Was

    saw

    a

    Balo

    ch k

    han

    Chaj

    ra

    Jakh

    arpa

    cca

    Jhor

    alna

    shib

    Kha

    nwal

    a

    Rakh

    Shah

    wal

    a

    Kho

    khar

    wal

    a

    Kha

    ral a

    zeem

    L96

    285

    kW

    822

    kW

    569

    kW

    1222

    kW

    302

    kW

    966

    kW

    671

    kW

    316

    kW

    1034

    kW

    L76

    L74 36

    0 kW

    1360

    kW 40

    0 kV

    A

    1100

    kVA

    700

    kVA

    1600

    kVA

    350

    kVA

    1200

    kVA

    900

    kVA

    250

    kVA

    1300

    kVA

    350

    kVA

    1200

    kVA

    L50

    299

    V

    283

    V

    318

    V

    321

    V

    321

    V

    323

    V

    Jhor

    alth

    al

    340

    V

    320

    V

    347

    V

    333

    V

    319

    V

    335

    V

    Am

    ircla

    sra

    Pana

    hK

    hara

    l

    Pirja

    gi

    Was

    aya

    Soha

    nra

    Sohi

    atha

    l

    Shar

    if A

    raye

    n

    Dub

    ali

    Loha

    chth

    al

    Weh

    niw

    alth

    al

    Karlo

    Zard

    800 k

    VA

    440 k

    VA

    1200

    kVA

    750 k

    VA

    1600

    kVA

    380 k

    VA

    1300

    kVA

    900 k

    VA

    250 k

    VA

    1300

    kVA

    350 k

    VA

    1200

    kVA

    Figure 9: Implementation of zone B of the existing system on ETAP.

    7International Journal of Photoenergy

  • operating regimes despite having the same power rating asbefore. In addition, the overloaded transformers and distri-bution lines are replaced with higher rating componentsdue to which their overloading problems are also eliminated.These facts can be observed from Figures 12–14 for zone A,

    zone B, and zone C, respectively. Finally, all the problemsof low power factor, voltage regulation, and power losses intransformers and transmission lines occurring in the systemare resolved. The comparison of results between the existingsystem and the new simulated system is done in the nextsection.

    4.3. Zone A: Transformer, Distribution Lines, and LoadAnalysis. In zone A of the existing system, 11 transformersare overloaded. Due to the overloaded transformers, the sys-tem is unbalanced. To overcome this problem, new trans-formers of higher rating are connected to replace the oldones and avoid overheating of transformers. As a result, thesystem reliability is increased and transformer losses are alsoreduced. A comparison between old and new ratings isshown in Figure 15.

    DG at the load side has reduced losses to a great extent. Ithas increased cost for replacing new transformers but ful-filled the demand of customers. Transformer losses reachup to 18 kW in the old case which remain below 6kW forthe DG-injected system. Losses across each transformer inthe old system and the new system are plotted inFigure 16(a).

    Zone C

    L123 L143Load 49

    800 k

    VA

    400 k

    VA

    400 k

    VA

    1100

    kVA

    1200

    kVA

    1200

    kVA

    1000

    kVA

    800 k

    VA

    800 k

    VA

    1200

    kVA

    330 k

    VA

    550 k

    VA

    1700

    kVA

    500 k

    VA

    1000

    kVA

    700 k

    VA

    1300

    kVA

    800 k

    VA

    380 k

    VA

    1800

    kVA

    800 k

    VA

    1300

    kVA

    450 k

    VA

    650 k

    VA

    Load 50 Load 51 Load 52 Load 53 Load 54 Load 55 Load 56 Load 57 Load 58 Load 59 Load 60

    Load 61 Load 62 Load 63 Load 64 Load 65 Load 66 Load 67 Load 68 Load 69 Load 70 Load 71 Load 72

    L97

    11.5

    kV

    1700

    kVA

    �al

    kala

    n

    �al

    jand

    i

    Baitd

    ewan

    Jam

    rid

    Jam

    ansh

    ah

    Basti

    nano

    Sum

    rans

    hib

    Shad

    okha

    n

    Kapb

    ali

    Awan

    wal

    a

    337

    V

    319

    V

    333

    V

    338

    V

    334

    V

    316

    V

    322

    V

    322

    V

    313

    V

    311

    V

    315

    V

    305

    V

    Jaisa

    lnas

    eeb

    Mad

    niTo

    wn

    500

    kVA

    1000

    kVA

    700

    kVA

    1300

    kVA

    800

    kVA

    350

    kVA

    1800

    kVA

    800

    kVA

    1300

    kVA

    450

    kVA

    600

    kVA

    L121

    L122

    L124 650

    kW

    1040

    kW

    359

    kW

    696

    kW

    911

    kW

    311

    kW

    1219

    kW

    568

    kW

    445

    kW

    258

    kW

    L144

    852

    kW

    1463

    kW

    800

    kVA

    400

    kVA

    400

    kVA

    1100

    kVA

    1200

    kVA

    1200

    kVA

    1200

    kVA

    300

    kVA

    500

    kVA

    1000

    kVA

    800

    kVA

    800

    kVA

    L98

    L100

    Bairo

    onKu

    nal

    333

    V

    330

    V

    340

    V

    340

    V

    324

    V

    321

    V

    307

    V

    316

    V

    313

    V

    Loha

    ncht

    hal

    310

    V

    305

    V

    298

    V

    Saee

    dN

    ashe

    eb

    Ladh

    ana

    Loha

    nchw

    ala

    Mirr

    anip

    acca

    Nag

    gilo

    hanc

    h

    Said

    otha

    l

    Kotla

    qazi

    Sam

    tiath

    al

    Gut

    thal

    Kunn

    alna

    shib72

    8 kW

    351

    kW

    1107

    kW

    356

    kW

    948

    kW

    922

    kW

    1107

    kW

    581k

    W

    558

    kW

    800

    kW

    246

    kW

    L120

    456

    kW

    L99 L119

    Figure 10: Implementation of zone C of the existing system on ETAP.

    132 kV

    Grid

    Zone A

    20 M

    VA

    20 M

    VA

    20 M

    VA

    Zone

    A tr

    ansfo

    rmer

    Zone

    B tr

    ansfo

    rmer

    Zone

    C tr

    ansfo

    rmer

    Zone B Zone C

    Figure 11: Simulation diagram of a 132 kV grid after DG injection.

    8 International Journal of Photoenergy

  • Lines losses are also reduced when DG is injected to theload side by replacing lines with proper ratings. The existing17 distribution lines having the capacity of 267MW are over-loaded, and they are replaced with new lines with a rating of500MW. Line losses reach up to 110 kW in the existing sys-tem which remain below 11kW for the proposed system. Agraph is shown in Figure 16(b) which compares line lossesin the old and new systems.

    The power factor of load is improved when DG isinjected at the load side. So the new power factor is slightlyless than unity which is a good sign for a robust power sys-tem. A high power factor also reduces the cost of equipmentbecause equipment cost under a low power factor is high dueto high current ratings. A high power factor reduces the cop-per losses because the phase component of the current isreduced. It has also decreased the losses and voltage regula-tion which were occurring due to the low power factor. Thegraph of power factors and voltage profiles at the load sidefor zone A is shown in Figures 17(a) and 17(b).

    The power factor for specific loads is better (>0.9) in theexisting system; however, it stays below 0.85 for most of theconnected loads. In the simulated system, the power factorhas improved drastically to around unity. Voltage, on theother hand, has sufficiently small values at the load sidewhich vary mostly between 300V and 320V. The desiredvalue of voltage is 380V (3 −Φ line-to-line voltage) whichis successfully achieved by photovoltaic installation.

    4.4. Zone B: Transformer, Distribution Lines, and LoadAnalysis. Zone B consists of 24 transformers, 24 loads, and48 lines. In the existing system, 4 transformers are overloadedrequiring new transformers of better ratings to be installed. Acomparison between old and new ratings is shown inFigure 18.

    After replacing old transformers with those of better rat-ings, losses are reduced considerably as in the previous case.Transformer losses which were reaching 38 kW are nowreduced to smaller values with maximum approaching

    Zone C

    1000

    kVA

    500 k

    VA

    1500

    kVA

    500 k

    VA

    1500

    kVA

    1500

    kVA

    2000

    kVA

    1000

    kVA

    1000

    kVA

    1500

    kVA

    500 k

    VA

    1000

    kVA

    1500

    kVA

    500 k

    VA

    1500

    kVA

    1000

    kVA

    1000

    kVA

    1500

    kVA

    500 k

    VA

    2000

    kVA

    1000

    kVA

    1500

    kVA

    1500

    kVA

    1000

    kVA

    Load 1 Load 2 Load 3 Load 4 Load 5 Load 6 Load 7 Load 8 Load 9 Load 10 Load 11 Load 12

    Load 13 Load 14 Load 15 Load 16 Load 17 Load 18 Load 19 Load 20 Load 21 Load 22 Load 23 Load 24

    11.5 kVSu

    gar m

    illco

    lony

    Cana

    l col

    ony

    Man

    zoor

    abad

    Hou

    sing

    colo

    ny

    Empl

    oyee

    s'co

    lony

    378

    V37

    8 V

    378

    V

    377

    V

    377

    V

    377

    V

    375

    V

    375

    V

    374

    V

    374

    V

    374

    V96

    8 kW

    1453

    kW

    1454

    kW

    971

    kW

    1948

    kW

    488

    kW

    1473

    kW

    977

    kW

    982

    kW

    1483

    kW

    493

    kW

    1492

    kW1

    500

    kVA

    1500

    kVA

    1000

    kVA

    1000

    kVA

    1500

    kVA

    500

    kVA

    2000

    kVA

    1000

    kVA

    1500

    kVA

    1500

    kVA

    1000

    kVA

    Shah

    pur �

    al

    Mau

    jgar

    h

    Sirg

    ani �

    al

    Karo

    r �al

    Shan

    iwal

    a

    Moc

    hiw

    ala

    Lask

    aniw

    ala

    Kach

    iBa

    hars

    hah

    Din

    pur

    Koro

    Nas

    heeb

    Tibb

    i Khu

    rdN

    ashe

    eb

    Qad

    eera

    bad

    500

    kVA

    376

    V

    379

    V

    378

    V

    379

    V

    375

    V

    377

    V

    377

    V

    375

    V

    375

    V

    376

    V

    376

    V

    376

    V

    375

    V

    Man

    di T

    own

    TDA

    colo

    ny

    Noo

    raba

    d

    Basti

    She

    ekJa

    lu

    Chan

    diaw

    ala

    Q.H

    . sch

    eme

    Law

    yers

    'co

    lony

    987

    kW

    494

    kW

    1488

    kW

    485

    kW

    1469

    kW

    1471

    kW

    1949

    kW

    977

    kW

    976

    kW

    1457

    kW

    488

    kW

    973

    kW100

    0 kV

    A

    500

    kVA

    1500

    kVA

    500

    kVA

    1500

    kVA

    1500

    kVA

    2000

    kVA

    1000

    kVA

    1000

    kVA

    1500

    kVA

    1 M

    W

    1 M

    W

    1 M

    W

    1 M

    W

    1 M

    W

    1 M

    W

    1 M

    W

    1 M

    W

    500

    kVA

    1000

    kVA

    Figure 12: Implementation of zone A of the new system on ETAP.

    9International Journal of Photoenergy

  • 11 kW. Old transformer losses and new transformer lossesfor zone B are plotted in Figure 19(a).

    Line losses are also reduced after the installation of DGand by replacing distribution lines of proper ratings. Sevendistribution lines (267 A) are overloaded and are replacedwith 500 A lines. Consequently, line losses reduce and staybelow 12kW which were approaching 120 kW in the existingsystem. A graph is shown in Figure 19(a) that compares oldsystem line losses and new system line losses.

    The power factor of load is improved when DG isinjected at the load side. So the new power factor is close tounity as in the previous case. It also reduces the losses andimproves voltage regulation. The power factor in the old sys-

    tem fluctuates and reaches up to a minimum of 0.73 which isimproved to around unity with DG injection. The voltagealso stays below 350V; however, it stays higher than 375Vfor the new system. The graphs of the power factor and volt-age profiles are shown in Figures 20(a) and 20(b),respectively.

    4.5. Zone C: Transformer, Distribution Lines, and LoadAnalysis. Zone C consists of 24 transformers, 24 loads, and48 lines. In the existing system, 8 transformers are over-loaded. To overcome this problem, new transformers areconnected to the load. A comparison between old and newratings for zone C is shown in Figure 21.

    Load 25 Load 26 Load 27 Load 28 Load 29 Load 30 Load 31

    11.5 kV

    11.5 kV

    Zone B

    1 M

    W

    1 M

    W

    1 M

    W

    1 M

    W

    1 M

    W

    1 M

    W

    1 M

    W

    1 M

    W

    Load 32 Load 33 Load 34 Load 35 Load 36

    Load 37 Load 38 Load 39 Load 40 Load 41 Load 42 Load 43 Load 44 Load 45 Load 46 Load 47 Load 48

    2000

    kVA

    500 k

    VA

    2000

    kVA

    1000

    kVA

    500 k

    VA

    1500

    kVA

    1000

    kVA

    1500

    kVA

    1500

    kVA

    1000

    kVA

    500 k

    VA

    500 k

    VA

    1000

    kVA

    500 k

    VA

    1000

    kVA

    1000

    kVA

    1500

    kVA

    1500

    kVA

    1500

    kVA

    1500

    kVA

    1500

    kVA

    1000

    kVA

    1500

    kVA

    1000

    kVA

    379

    V37

    6 V

    376

    V

    377

    V

    377

    V

    377

    V

    376

    V

    377

    V

    375

    V

    375

    V

    375

    V

    377

    V

    374

    V

    378

    V

    378

    V

    378

    V

    377

    V

    377

    V

    377

    V

    374

    V

    376

    V

    375

    V

    375

    V

    375

    V

    2000

    kVA

    500

    kVA

    1500

    kVA

    1000

    kVA

    1500

    kVA

    500

    kVA

    500

    kVA

    1500

    kVA

    1000

    kVA

    1000

    kVA

    2000

    kVA

    500

    kVA

    1000

    kVA

    500

    kVA

    1500

    kVA

    1500

    kVA

    1500

    kVA

    1500

    kVA

    1500

    kVA

    1500

    kVA

    1000

    kVA

    1000

    kVA

    1000

    kVA

    1000

    kVA

    1985

    kW

    494

    kW

    494

    kW

    981

    kW

    1473

    kW

    490

    kW

    1924

    kW

    972

    kW

    1458

    kW

    488

    kW

    975

    kW

    1480

    kW

    981

    kW

    490

    kW

    1472

    kW

    930

    kW

    1473

    kW

    1468

    kW

    1473

    kW

    973

    kW

    972

    kW

    1473

    kW

    1480

    kW

    967

    kW

    Gad

    di

    Balo

    ch K

    han

    Bait

    Was

    awa

    Kha

    nwal

    a

    jhor

    alna

    shib

    Jakh

    arpa

    cca

    Chaj

    ra

    Kha

    ral A

    zeem

    Kho

    khar

    wal

    a

    Rakh

    Shah

    wal

    a

    Goc

    hiA

    mir

    Clas

    ra

    Pana

    h kh

    aral

    Pirja

    gi

    Shar

    if A

    raye

    n

    Soha

    nra

    Was

    aya

    Sohi

    atha

    l

    Jhor

    alth

    al

    Weh

    niw

    alth

    al

    Loha

    chth

    al

    Dub

    ali

    Karlo

    Zard

    Figure 13: Implementation of zone B of the new system on ETAP.

    10 International Journal of Photoenergy

  • When transformers of proper ratings are used, lossesreduce to a great extent. In the old system, transformer losseswere reaching 30 kW and they reach up to 6.5 kW for the newsystem. The graph of transformer losses is shown inFigure 22(a).

    Line losses are reduced when DG is injected and byreplacing lines of proper ratings. Twelve distribution linesare overloaded and are replaced with 500MW lines in thesystem. In zone C too, line losses are approaching 120 kWwhich reduces to around 6 kW for the new system. A graphis shown in Figure 22(b) showing the line losses in the exist-ing and updated systems. The power factor of the load isimproved when DG is injected at the load side. Again forzone C, the new power factor is nearly unity. For the existingsystem, the power factor reduced to as low as 0.68 whichimproved after the DG injection. The graph between oldand new power factors is shown in Figure 23(a).

    The voltage profile is also improved as a result of DGinjection. For the old system, the voltage level varied between

    11.5

    kV

    Zone C

    1 M

    W

    1 M

    W

    1 M

    W

    1 M

    W

    1 M

    W

    1 M

    W

    1 M

    W

    1 M

    W

    Load 49 Load 50 Load 51 Load 52 Load 53 Load 54 Load 55 Load 56 Load 57 Load 58 Load 59 Load 60

    Load 61

    2000

    kVA

    2000

    kVA

    500 k

    VA

    2000

    kVA

    1000

    kVA

    500 k

    VA

    1500

    kVA

    1500

    kVA

    1500

    kVA

    1500

    kVA

    1000

    kVA

    500 k

    VA

    1000

    kVA

    1000

    kVA

    500 k

    VA

    1000

    kVA

    1000

    kVA

    2000

    kVA

    1500

    kVA

    1500

    kVA

    1500

    kVA

    1500

    kVA

    1000

    kVA

    500 k

    VA

    500 k

    VA

    500

    kVA

    1985

    kW

    495

    kW

    1484

    kW

    975

    kW

    1470

    kW

    1474

    kW

    490

    kW

    1952

    kW

    971

    kW

    1456

    kW

    489

    kW

    970

    kW

    379

    V

    378

    V37

    9 V

    378

    V37

    9 V

    378

    V

    377

    V

    377

    V

    377

    V

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    V

    376

    V

    376

    V

    375

    V

    375

    V

    375

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    374

    V

    377

    V

    377

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    V

    376

    V

    375

    V

    375

    V

    375

    V

    1500

    kVA

    1500

    kVA

    1500

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    kVA

    Load 62 Load 63 Load 64 Load 65 Load 66 Load 67 Load 68 Load 69 Load 70 Load 71 Load 72

    968

    kW

    488

    kW

    1459

    kW

    970

    kW

    971

    kW

    1951

    kW

    1468

    kW

    1471

    kW

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    kW

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    �al

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    n

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    rana

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    wal

    a

    Figure 14: Implementation of zone C of the new system on ETAP.

    00

    500

    1000

    1500

    Tran

    sform

    er ra

    ting

    (kVA

    )

    2000

    2500

    5 10 15Total no. of transformers

    20 25

    Actual ratingNew rating

    Figure 15: Actual and new rating of transformers in zone A.

    11International Journal of Photoenergy

  • 300V and 340V which improved substantially to around378V after photovoltaic injection. Old and new voltage levelsare shown in Figure 23(b).

    5. Conclusion

    Pakistan is an underdeveloped country where energy crisesare more and the overall economy is low. A case study has

    been taken to observe load flow from the 132 kV grid stationat Layyah. There are issues of power losses, poor voltage pro-file, low power factor, and overloaded transformers. To solvethese issues, two techniques are available: one is to upgradethe grid to 220 kV and the other is to inject a DG system tofulfil the needs of the demand side. The second approach isadopted for the solution of problems. Three zones weredesigned on ETAP to simulate a power flow algorithm usingthe Newton-Raphson method and discussed one by one.Each zone consists of 24 transformers, 24 constant loads,and 48 cables.

    Zone A has 24 transformers in which 11 transformers areoverloaded and 18 distribution lines are overloaded. The loadpower factor is 0.71 at Shahpur Thal, and the lower voltage atMaujgarh was 293V. When DG is injected in all trans-formers, distribution lines started working properly withminimum losses. Shahpur Thal’s load power factor becomes0.9975, and Maujgarh’s voltage profile is improved from293V to 374V. Similarly, losses reduced in every element,and also the power factor improvement is noticeable. ZoneB has 24 transformers in which 8 transformers are over-loaded, 12 distribution lines are overloaded, and the lowestpower factor is 0.69 at Awanwala. The lowest voltage at Lad-hana is 298V. When DG is injected to all transformers, dis-tribution lines started working in a proper way withminimum losses. Awanwala’s power factor of loads became0.9973. Ladhana’s voltage profile improved from 298V to

    25Total no. of transformers

    20151050

    25

    20

    Tran

    sform

    er lo

    sses

    (kW

    )

    15

    10

    5

    0

    A�er DG injectionExisting system

    (a)

    50

    A�er DG injection

    Total no. of lines403020100

    Line

    loss

    es (k

    W)

    0

    30

    60

    90

    120

    Existing system

    (b)

    Figure 16: (a) Transformer losses and (b) line losses before and after DG in zone A.

    00.6

    0.7

    0.8

    Load

    pow

    er fa

    ctor

    0.9

    1.0

    5 10 15 20 25Total no. of loads

    A�er DG injectionExisting system

    (a)

    VR (

    V)

    0280300320340360380400

    5 10 15 20 25Total no. of loads

    A�er DG injectionExisting system

    (b)

    Figure 17: (a) Power factor and (b) voltage at the receiving end in zone A.

    00

    500

    1000

    1500

    Tran

    sform

    er ra

    ting

    (kVA

    )

    2000

    2500

    5 10 15Total no. of transformers

    20 25

    Actual ratingNew rating

    Figure 18: Actual and new rating of transformers in zone B.

    12 International Journal of Photoenergy

  • 374V. Zone C has 24 transformers in which 4 transformersare overloaded, 8 distributions lines are overloaded, and thelowest power factor is 0.75 at Zard. The lowest voltage atKarlo is 283V. When DG is injected, distribution linesstarted working properly with minimum losses. The powerfactor of loads in the Zard region becomes 0.9862. The volt-age profile in the Karlo region improved from 283V to

    375V. Initially, total losses were 4.58MW and 12.30MVARwhich were then reduced in the newly implemented systemup to 0.548MW and 0.834MVAR. Load forecasting is donein this case study where more power is needed. In this design,old transformers were replaced by new transformers to savethe consumer side from outages of power. Every zone needs8MW power, so 24 solar panels of 1MW each were installedat the consumer side. This method has the potential to over-come the problem of load shedding as well, which is about 6to 8 hours in the region.

    Data Availability

    The data used to support the findings of this study areincluded within the article. The data is cited at relevant placeswithin the text as references.

    Conflicts of Interest

    The authors declare that there is no conflict of interestregarding the publication of this paper.

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    [1] J. Miret, J. L. G. de Vicuña, R. Guzmán, A. Camacho, andM. M. Ghahderijani, “A flexible experimental laboratory for

    25Total no. of transformers

    20151050

    Tran

    sform

    er lo

    sses

    (kW

    )

    0

    10

    20

    30

    40

    A�er DG injectionExisting system

    (a)

    50

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    150

    Existing system

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    Implementation of Distributed Generation with Solar Plants in a 132 kV Grid Station at Layyah Using ETAP1. Introduction2. Current and Future Trends in Pakistan3. Power Flow Analysis4. Results and Discussion4.1. Existing System Implementation on ETAP4.2. New Design of the 132 kV Grid Station4.3. Zone A: Transformer, Distribution Lines, and Load Analysis4.4. Zone B: Transformer, Distribution Lines, and Load Analysis4.5. Zone C: Transformer, Distribution Lines, and Load Analysis

    5. ConclusionData AvailabilityConflicts of Interest